After processing, analysts examine the results provided by the neural network to create a list of tasks that were most frequently mentioned by clients. This list may include both obvious and hidden needs that are difficult to identify during standard interactions.
For each task, the system provides a pool of benefits that have proven to be the most decisive in previous calls. For example, in the retail sector, one of the tasks may be “increasing the average check.” For this task, the key benefits may be personalized discounts, the availability of loyalty programs, and the possibility of fast delivery.
3. Create personalized recommendations.
Based on the collected data, a report is generated that contains a list of customer tasks and recommendations for focusing on the relevant benefits. This data helps companies adapt sales scripts and train managers to communicate the value of the product more effectively.
Example of Process Mining application from SalesAI
A hospitality company provided SalesAI with guest georgia mobile database interaction data for analysis. The neural network identified key customer goals, including “convenience of booking,” “availability of additional services,” and “flexibility of cancellation policies.”
An analysis of successful interactions showed that for the task of “convenience of booking”, the decisive advantages were:
the ability to book a room via instant messengers;
instant booking confirmation;
transparent payment terms.
Based on SalesAI recommendations, the company adapted the process of communicating with clients, adding an emphasis on the convenience of booking in messengers and quick feedback. As a result, the conversion of applications to bookings increased by 18% in two months.
Conclusion
The key benefits for each customer are the solution to their specific problem. The company's task is to find out what is important to all target customers and demonstrate as quickly as possible how the product helps achieve this.
SalesAI’s Process Mining enables you to understand your customers’ challenges and identify key benefits that truly influence their decisions. This approach helps companies not only improve their products, but also adapt their sales strategies, making them more personalized and effective. Use SalesAI’s capabilities to find your product’s strengths and improve customer engagement:
Analysis of tasks and identification of advantages
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